Senior Business Insights Analyst (m/f/d) at MSD
81673 München, Bayern, Germany -
Full Time


Start Date

Immediate

Expiry Date

01 Jul, 25

Salary

0.0

Posted On

01 Apr, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Database Design, Data Engineering, Data Modeling, Software Development, Machine Learning, Business Intelligence, Data Science, Data Visualization

Industry

Information Technology/IT

Description

Job Description
As the Senior Business Insights Analyst (BIA) (all genders), you will play a key role in ensuring that valuable insights are integrated into strategic planning and execution. These insights will guide our commercial teams and processes, including product launches and various sales and marketing activities.
In this position, you will leverage (ad-hoc) data analytics and business intelligence tools to provide actionable insights that drive strategic decision-making within the organization. Your responsibilities will include gathering, analyzing, and interpreting complex data sets to identify trends, forecast outcomes, and support business objectives.
Additionally, you will regularly communicate your findings to decision-makers and collaborate closely with various analysts and our global BIA community to ensure alignment and collective strategic impact.

TRAVEL REQUIREMENTS:

No Travel Required

REQUIRED SKILLS:

Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model

Responsibilities
  • Data Analysis: Conduct in-depth analyses of business performance data, customer behavior, and market trends to generate insights that inform strategic initiatives. Present comprehensive reports and visualizations that communicate findings to stakeholders across all levels of the organization.
  • Collaboration: Work closely with cross-functional teams including Marketing, Sales, IT and Analytics teams such as data science and market research to understand business data needs and provide analytical support.
  • Modeling: Understand and leverage our advanced analytics portfolio (e.g. forecasting, customer segmentation, commercial spent optimization) to enrich your own (proactive) analysis. As a plus you conduct your own predictive models in close collaboration with our data science team.
  • Tool Utilization: Utilize advanced analytics tools and programming languages (e.g., SQL, Python, R) to conduct your analysis.
  • Trend Identification: Identify key business trends on the external pharma market and performance metrics to provide recommendations for improvement.
  • Data Management: Connect with our data steward community to ensure data integrity and support a robust data governance framework
  • Upskilling/ Mentorship: Provide mentorship and guidance to junior analysts, actively contribute to our company data literacy program fostering a data-driven culture within the organization.
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